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A network of "neurons" on different layers, where each neuron is a function of the neurons in the previous layer.
The input is any set of numbers, and the output is usually a classification, the percentage chance that is each of various categories.
The way the coefficients of a function are set is by training the neural network with training data, basically questions you know the answers to. Uses a loss function to determine how far off the answer the AI comes up with are from the real answer, and using gradient descent (goes down the path of the function with the steepest partial derivative) to find the minimum value of the loss function (most correct answers) to find the coefficients of the function that lead to the highest accuracy
I made this epic AI project that does censored- cant share future startup secrets
Why are people so scared of AI? it is literally just y = mx + b but it decides the m and b
Awesome Image. Especially of like barns and stuff.
Wow, that's an AI of barns and stuff.
Awesome Image. Often used to describe pictures of barns and stuff.
That picture of a barn and stuff is AI.
Actually Indians. Used to describe Jeff Bezos' Amazon "Just Walk Out" shopping experience where AI was used to track purchases but it turned out to be manually controlled by Indian sub-contractors.
Omg, did you see Amazon's AI shopping, it's Actually Indians.
software written by humans to prove how simple their own cognitive architectures actually are.
It turns out that linguistic intelligence is only a small part of what makes humans themselves, and AI was able to replicate it near entirely, while still being clearly something different. It kinda hurt their feelings being not special though.